∩
intersection, and
∪
union, or
|
A given B
sample space
the list of all possible outcomes for some random process
event
any collection of outcomes from some random process
probability of equally likely outcomes
P(A) = (number of outcomes in event A) ÷ (total number of outcomes in sample space)
complement
P(A^c) = 1 - P(A)
the likelihood an event does not occur
mutually exclusive/disjoint
P(A or B) = P(A) + P(B)
when two events have no outcomes in common and so can never occur together
valid probability model
all probabilities are between 0 and 1 and add up to 1
general addition rule for two events
P(A or B) = P(A) + P(B) - P(A and B)
venn diagram
one or more circles surrounded by a rectangle. each circle represents an event. the region inside the rectangle represents the sample space of the random process.
intersection of events
the outcomes that two events have in common
union of events
all the outcomes of either event
conditional probability
P(A | B) = P(A and B)/P(B)
general multiplication rule
P(A and B) = P(A) * P(B | A) = P(B) * P(A | B)
independent events
P(A and B) = P(A) P(B)
P(A | B) = P(A)